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Deploying the Behavioral and Environmental Sensing and Intervention for Cancer Smart Health System to Support Patients and Family Caregivers in Managing Pain: Feasibility and Acceptability Study

Deploying the Behavioral and Environmental Sensing and Intervention for Cancer Smart Health System to Support Patients and Family Caregivers in Managing Pain: Feasibility and Acceptability Study

Ethics approval was granted by the University of Virginia Health Sciences Institutional Review Board (HSR IRB 21017), and all participants provided informed consent before data collection. The participants were shown prototypes or pictures of the BESI-C system during the informed consent process to better understand the project. Patients and family caregivers were recruited from an outpatient palliative care clinic at an academic medical center in the southeastern United States.

Virginia LeBaron, Ridwan Alam, Rachel Bennett, Leslie Blackhall, Kate Gordon, James Hayes, Nutta Homdee, Randy Jones, Kathleen Lichti, Yudel Martinez, Sahar Mohammadi, Emmanuel Ogunjirin, Nyota Patel, John Lach

JMIR Cancer 2022;8(3):e36879

Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study

Exploring the Use of Wearable Sensors and Natural Language Processing Technology to Improve Patient-Clinician Communication: Protocol for a Feasibility Study

Institutional Review Board (University of Virginia Social & Behavioral Sciences IRB, #4985) approval has been granted. Work began on Specific Aim 1 in November 2021 and Specific Aim 2 in April 2022. Participant recruitment is expected to begin in summer 2022. We expect preliminary results to be available in fall 2022.

Virginia LeBaron, Mehdi Boukhechba, James Edwards, Tabor Flickinger, David Ling, Laura E Barnes

JMIR Res Protoc 2022;11(5):e37975

Understanding the Experience of Cancer Pain From the Perspective of Patients and Family Caregivers to Inform Design of an In-Home Smart Health System: Multimethod Approach

Understanding the Experience of Cancer Pain From the Perspective of Patients and Family Caregivers to Inform Design of an In-Home Smart Health System: Multimethod Approach

Before data collection, approval was granted by the University of Virginia Health Sciences Institutional Review Board. Both patients and caregivers provided informed consent. A study guide was created, informed by the literature and the research study aims (Multimedia Appendix 1). In addition to basic demographic questions, the study guide consisted of 3 parts. Part 1 consisted of open-ended questions regarding general challenges and concerns in managing cancer pain at home.

Virginia LeBaron, Rachel Bennett, Ridwan Alam, Leslie Blackhall, Kate Gordon, James Hayes, Nutta Homdee, Randy Jones, Yudel Martinez, Emmanuel Ogunjirin, Tanya Thomas, John Lach

JMIR Form Res 2020;4(8):e20836

Leveraging Smart Health Technology to Empower Patients and Family Caregivers in Managing Cancer Pain: Protocol for a Feasibility Study

Leveraging Smart Health Technology to Empower Patients and Family Caregivers in Managing Cancer Pain: Protocol for a Feasibility Study

Importantly, the design of BESI-C has been informed by end-user feedback gathered during qualitative interviews with cancer patient-family caregiver dyads (Phase 1, Figure 1) recruited from The University of Virginia Palliative Care Clinic.

Virginia LeBaron, James Hayes, Kate Gordon, Ridwan Alam, Nutta Homdee, Yudel Martinez, Emmanuel Ogunjirin, Tanya Thomas, Randy Jones, Leslie Blackhall, John Lach

JMIR Res Protoc 2019;8(12):e16178